Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Relating amino acid sequence to phenotype: analysis of peptide-binding data.

Biometrics - 1 Jun 2001

Segal M R, Cummings M P, Hubbard A E

Abstract excerpt

We illustrate data analytic concerns that arise in the context of relating genotype, as represented by amino acid sequence, to phenotypes (outcomes). The present application examines whether peptides that bind to a particular major histocompatibility complex (MHC) class I molecule have characteristic amino acid sequences. However, the concerns identified and addressed are considerably more general. It is...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Amino Acid Sequence
Share to Analysis of Variance
Share to Binding Sites

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Histocompatibility Antigens Class I

Share to Likelihood Functions

Share to Major Histocompatibility Complex

Share to Multivariate Analysis

Share to Peptides

Source

Identifiers

PMID: 11414594
DOI: 10.1111/j.0006-341x.2001.00632.x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 8 closest

Relating amino acid sequence to phenotype: analysis of peptide-binding data.PMID 11414594Read ↗

A geometric and algebraic view of MHC-peptide complexes and their binding properties.Semantic proximity Read ↗

Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA0201Semantic proximity Read ↗

Discordant results among major histocompatibility complex binding affinity prediction toolsSemantic proximity Read ↗

Discordant results among MHC binding affinity prediction toolsSemantic proximity Read ↗

HLA variants have different preferences to present proteins with specific molecular functions which are complemented in frequent haplotypesSemantic proximity Read ↗

Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201Semantic proximity Read ↗

Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan.Semantic proximity Read ↗

Comprehensive evaluation and interpretative insights of peptide-HLA binding prediction tools using explainable artificial intelligenceSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.